nlp engineer

Fiblix

Position Type: Full-Time, Remote Location: Remote (Worldwide) Reports to: Technical Director / CTOAbout the RoleWe are seeking a highly experienced AI/ML Engineer &amp; Data Scientist to work on a large-scale enterprise software platform. This is a senior-level position requiring deep expertise in artificial intelligence, machine learning, and data science with proven experience in building and deploying production-grade AI systems.You will be responsible for architecting intelligent features, building ML pipelines, integrating cutting-edge AI capabilities, and transforming complex data into actionable insights.Key ResponsibilitiesAI/ML Development<ul><li>Design and build end-to-end machine learning systems for production deployment</li><li>Develop deep learning models (CNNs, RNNs, Transformers, GANs)</li><li>Implement recommendation engines, predictive analytics, and intelligent automation</li><li>Optimize models for performance, scalability, and cost efficiency</li></ul>LLM &amp; NLP Integration<ul><li>Integrate and fine-tune Large Language Models (GPT-4, Claude, LLaMA, Mistral)</li><li>Build NLP pipelines for text classification, sentiment analysis, and entity recognition</li><li>Develop RAG systems, chatbots, and conversational AI features</li><li>Implement prompt engineering and chain-of-thought reasoning</li></ul>Data Science &amp; Analytics<ul><li>Conduct exploratory data analysis on large, complex datasets</li><li>Perform statistical analysis, hypothesis testing, and causal inference</li><li>Build automated data pipelines and feature engineering workflows</li><li>Create data visualizations and reporting dashboards</li></ul>MLOps &amp; Production Systems<ul><li>Design MLOps pipelines for continuous training and deployment</li><li>Implement model monitoring, drift detection, and automated retraining</li><li>Build scalable model serving infrastructure</li><li>Establish testing frameworks and deployment strategies</li></ul>AI Integrations<ul><li>Integrate third-party AI APIs (OpenAI, Anthropic, Google AI, Azure AI, AWS)</li><li>Design RESTful APIs for model serving</li><li>Implement vector databases and semantic search capabilities</li><li>Build microservices architecture for AI features</li></ul>Required QualificationsExperience<ul><li>Minimum 5-8 years in AI/ML and Data Science</li><li>Minimum 5 years deploying production ML systems at scale</li><li>Minimum 3 years with deep learning frameworks</li><li>Minimum 2 years with LLMs and modern NLP</li><li>Proven track record of delivering impactful AI projects</li></ul>Education<ul><li>Bachelor's in Computer Science, ML, AI, Data Science, Statistics, or related field</li></ul>Technical SkillsProgramming:<ul><li>Python (expert level), SQL, and one additional language (R, Scala, or Java)</li></ul>ML Frameworks:<ul><li>TensorFlow/Keras, PyTorch, Scikit-learn, XGBoost/LightGBM</li></ul>NLP &amp; LLMs:<ul><li>Hugging Face Transformers, LangChain, OpenAI/Anthropic APIs</li><li>Vector databases (Pinecone, Weaviate, Milvus, Chroma)</li></ul>MLOps:<ul><li>MLflow, Weights &amp; Biases, Docker, Kubernetes</li><li>Model serving (TensorFlow Serving, TorchServe, BentoML)</li></ul>Cloud Platforms (at least two):<ul><li>AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure ML</li></ul>Data Engineering:<ul><li>Apache Spark, data warehousing, stream processing</li></ul>Soft Skills<ul><li>Excellent English communication (written and verbal)</li><li>Self-motivated with ability to work independently</li><li>Strong problem-solving and analytical thinking</li><li>Experience working in remote, distributed teams</li></ul>Preferred Qualifications<ul><li>Publications in top ML/AI conferences (NeurIPS, ICML, ICLR, ACL)</li><li>Open-source contributions to ML frameworks</li><li>Experience with AI safety and alignment</li><li>Cloud ML certifications (AWS ML Specialty, GCP ML Engineer, Azure AI Engineer)</li><li>Domain expertise in enterprise software, fintech, healthcare, or e-commerce</li></ul>Job Type: Full-timePay: From Rs200,000.00 per month

Senior AI/ML Engineer & Data Scientist

Force Cloud LLC

We are looking for a Senior AI/ML Engineer to join our growing AI services company as a core technical leader. In this role, you will design, build, and deploy production-ready AI/ML solutions across computer vision, NLP, and generative AI, while mentoring engineers and helping scale the team.What You&rsquo;ll Do<ul><li>Design and develop end-to-end AI/ML solutions, from data preparation to deployment, across domains such as vision, NLP, GenAI, and predictive systems.</li><li>Build scalable ML pipelines, define best practices, and establish engineering standards.</li><li>Lead technical decision-making, including model selection, code reviews, and debugging complex issues.</li><li>Mentor and guide junior engineers, promoting a strong culture of learning and innovation.</li><li>Collaborate with clients and cross-functional teams to deliver accurate, scalable, and reliable AI solutions.</li><li>Stay up to date with emerging AI/ML trends and technologies to keep solutions future-ready.</li></ul>What You Bring<ul><li>3+ years of hands-on experience building and deploying machine learning models in production environments.</li><li>Strong expertise in:</li><li>Computer Vision: CNNs, OpenCV, TensorFlow/PyTorch, transfer learning, object detection and segmentation.</li><li>NLP: Transformer models (BERT, T5, GPT), embeddings, tokenization, HuggingFace, spaCy/NLTK.</li><li>Generative AI: LLM orchestration (LangChain), RAG pipelines, chatbots, prompt engineering, vector databases (FAISS, Pinecone).</li><li>Strong ML fundamentals, including classical algorithms, feature engineering, and model evaluation using Python, Scikit-learn, XGBoost, or LightGBM.</li><li>Excellent communication, problem-solving, and mentorship skills with experience leading teams technically.</li></ul>Job Type: Full-timeWork Location: In person

AI / ML Developer and Engineer

akwad

<div>Job Overview: 
We are seeking a talented and experienced AI/ML Engineer to design, develop, and deploy cutting-edge artificial intelligence and machine learning solutions. This role focuses on the core ML lifecycle, from data handling and model development to deployment, optimization, and monitoring in production environments. The ideal candidate will be passionate about leveraging the latest advancements in AI, particularly in areas like Large Language Models (LLMs) and Natural Language Processing (NLP), to build intelligent systems that drive innovation and solve complex problems. 
Key Responsibilities:
<ul><li>
Design, build, train, and fine-tune various machine learning models, with a strong focus on Large Language Models (LLMs) and Natural Language Processing (NLP) models.
</li><li>Collaborate with data scientists and engineers to acquire, preprocess, and manage data required for model training and evaluation.
</li><li>Implement and utilize AI/ML frameworks and libraries (e.g., PyTorch, TensorFlow, scikit-learn, Hugging Face transformers).
</li><li>Develop and implement APIs and integration points to make AI/ML models and services accessible to other engineering teams and systems.
</li><li>Deploy, manage, and monitor models and AI services in production environments, ensuring performance, scalability, and reliability.
</li><li>Utilize specialized AI development tools and frameworks such as LangChain, AutoGen, or other intelligent agent frameworks.
</li><li>Implement MLOps practices for model versioning, continuous integration/continuous deployment (CI/CD), monitoring, and retraining.
</li><li>Optimize models and inference pipelines for performance, efficiency, and cost-effectiveness.
</li><li>Stay updated with the latest research, techniques, and tools in the AI/ML field and propose new approaches.
</li><li>Collaborate effectively with product managers, data scientists, and other engineering teams (e.g., backend, frontend) to translate requirements into technical designs and integrate AI capabilities into products.
</li></ul>
Required Skills and Experience:
<ul><li>
4+ years of experience in a technical role with a strong focus on Machine Learning and AI development (ideally 2+ years dedicated AI/ML experience).
</li><li>Proficiency in Python and standard ML/AI libraries (e.g., NumPy, Pandas, scikit-learn, TensorFlow, PyTorch).
</li><li>Solid understanding of core Machine Learning concepts, algorithms, model evaluation techniques, and deployment strategies.
</li><li>Hands-on experience building, training, and deploying models, especially LLMs and NLP models.
</li><li>Experience working with LLM APIs (e.g., OpenAI, Anthropic) and relevant libraries/frameworks (e.g., Hugging Face transformers, LangChain, AutoGen).
</li><li>Familiarity with vector databases/stores (e.g., Pinecone, Weaviate, FAISS) and techniques like RAG (Retrieval Augmented Generation).
</li><li>Experience with model deployment tools and MLOps practices.
</li><li>Familiarity with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes) for model deployment.
</li><li>Understanding of API design principles for serving machine learning models.
</li><li>Strong problem-solving skills and ability to translate business problems into technical AI/ML solutions.
</li><li>Excellent communication and collaboration skills.
</li></ul>
Nice-to-Haves:
<ul><li>
Experience with specific cloud ML services (e.g., AWS SageMaker, Google AI Platform/Vertex AI, Azure ML).
</li><li>Knowledge of data engineering pipelines and ETL processes.
</li><li>Experience with distributed training frameworks.
</li><li>Contributions to open-source AI/ML projects.
</li><li>Advanced degree (Master's or PhD) in Computer Science, Machine Learning, Data Science, or a related quantitative field.</li></ul></div>

AI/ML Engineer

Hudhud Maps

<div>About The Role:
We are looking for a Senior Machine Learning Engineer with deep expertise in Natural Language Processing (NLP) and Large Language Models (LLMs) to join our growing team. This role requires strong research-to-production skills, combined with robust software engineering capabilities to ensure scalable, reliable systems.<h3 class="jobSectionHeader">
Key Responsibilities</h3>
<ul><li>Design, develop, and deploy NLP and LLM-based solutions for real-world applications.</li><li>
Translate research papers and experimental models into production-ready systems.</li><li>
Architect and implement scalable ML pipelines, ensuring performance and reliability.</li><li>
Collaborate with product and engineering teams to integrate ML models into Hudhud's platforms.</li><li>
Conduct experiments, evaluate models, and optimize for accuracy, efficiency, and cost.</li><li>
Stay up to date with the latest advancements in NLP, LLMs, and generative AI.</li><li>
Guide junior engineers and contribute to building a high-performance AI team.</li></ul><h3 class="jobSectionHeader">
Qualifications &amp; Skills</h3>
<ul><li>Education: MSc or PhD in Computer Science, Machine Learning, Artificial Intelligence, or related fields.</li><li>
Experience: Minimum 5+ years of professional experience in ML/NLP, with at least 3+ years working on LLMs.</li><li>
Core Expertise:<ul><li>
Strong background in NLP techniques (transformers, embeddings, sequence models).</li><li>
Hands-on experience with LLMs (fine-tuning, prompt engineering, model evaluation).</li><li>
Practical experience with LangChain and/or Haystack frameworks for building LLM-powered applications.</li><li>
Solid understanding of ML system design and deployment in production environments.</li></ul></li><li>
Software Engineering Skills:<ul><li>
Proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face).</li><li>
Strong knowledge of software engineering principles (version control, testing, CI/CD).</li><li>
Experience with distributed systems, APIs, and microservices.</li><li>
Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).</li></ul></li></ul><ul><li>
Problem-Solving: Excellent analytical skills and ability to work independently in a fast-paced startup environment.</li><li>
Preferred: Experience in Arabic NLP or multilingual LLMs is a strong plus.</li></ul>
Joining Hudhud means:
<ul><li>Working on real-world problems with direct impact across industries in Saudi Arabia and beyond.</li><li>
Being part of a fast-growing startup that values innovation, ownership, and bold ideas.</li><li>
Collaborating with a team passionate about pushing the boundaries of geospatial technology.</li><li>
Helping shape the future of customer experience through maps and location intelligence.</li></ul>
We're not just building technology &mdash; we're redefining how people and businesses experience the world around them.</div>

Senior Machine Learning Engineer (NLP/LLMs)

Qualcomm

<div><h2 class="jobSectionHeader">Company:
</h2>Qualcomm India Private Limited
<h2 class="jobSectionHeader">Job Area:
</h2>Engineering Group, Engineering Group &gt; Software Engineering
General Summary:
Senior Engineer: Job Title: Senior Machine Learning &amp; Data Engineer
We are looking for a highly skilled and experienced Machine Learning &amp; Data Engineer to join our team. This hybrid role blends the responsibilities of a data engineer and a machine learning engineer, with a strong emphasis on Python development. You will be instrumental in designing scalable data pipelines, building and deploying ML/NLP models, and enabling data-driven decision-making across the organization.
<div></div>Key Responsibilities
<ul><li>Data Engineering &amp; Infrastructure
<ul><li>Design and implement robust ETL pipelines and data integration workflows using SQL, NoSQL, and big data technologies (e.g., Spark, Hadoop).
</li><li>Optimize data storage and retrieval using relational and non-relational databases (e.g., PostgreSQL, MongoDB, Cassandra).
</li><li>Ensure data quality, validation, and governance across systems.
</li><li>Develop and maintain data models and documentation for data flows and architecture.
</li></ul></li><li>Machine Learning &amp; NLP
<ul><li>Build, fine-tune, and deploy ML/NLP models using frameworks like TensorFlow, PyTorch, and Scikit-learn.
</li><li>Apply advanced NLP techniques including Transformers, BERT, and LLM fine-tuning.
</li><li>Implement Retrieval-Augmented Generation (RAG) pipelines using LangChain, LlamaIndex, and vector databases (e.g., FAISS, Milvus).
</li><li>Operationalize ML models using APIs, model registries (e.g., Hugging Face), and cloud services (e.g., SageMaker, Azure ML).
</li></ul></li><li>Python Development
<ul><li>Develop scalable backend services using Python frameworks such as FastAPI, Flask, or Django.
</li><li>Automate data workflows and model training pipelines using Python libraries (e.g., Pandas, NumPy, SQLAlchemy).
</li><li>Collaborate with cross-functional teams to integrate ML solutions into production systems.
</li></ul></li><li>Collaboration &amp; Communication
<ul><li>Work closely with data scientists, analysts, and software engineers in Agile/Scrum teams.
</li><li>Translate business requirements into technical solutions.
</li><li>Maintain clean, well-documented code and contribute to knowledge sharing.
</li></ul></li></ul><div></div>Required Qualifications
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or a related field.
</li><li>Proven experience in both data engineering and machine learning roles.
</li><li>Strong Python programming skills and experience with modern Python libraries and frameworks.
</li><li>Deep understanding of ML/NLP concepts and practical experience with LLMs and RAG architectures.
</li><li>Proficiency in SQL and experience with both SQL and NoSQL databases.
</li><li>Experience with big data tools (e.g., Spark, PySpark) and cloud platforms (AWS, Azure).
</li><li>Familiarity with data visualization tools like Power BI or Tableau.
</li><li>Excellent problem-solving, communication, and collaboration skills.
</li></ul>Minimum Qualifications:
<ul><li>Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
</li></ul>OR
 
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
 
OR
 
PhD in Engineering, Information Systems, Computer Science, or related field.
 
 
<ul><li>2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.
</li></ul><div>We would love to see:
 
<ul><li>Experience with training and deploying models.
</li><li>Knowledge of ML model optimization techniques and memory management on GPUs.
</li><li>Familiarity with ML-specific data storage and retrieval systems.
</li><li>Understanding of security and compliance requirements in ML infrastructure. 
</li></ul></div>Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
If you would like more information about this role, please contact Qualcomm Careers .</div>

AIML - Sr Engineer

<div>
 
 About VML
 
 
 
 VML is a leading creative company that combines brand experience, customer experience, and commerce, creating connected brands to drive growth. VML is celebrated for its innovative and human first, award-winning work for blue chip client partners including AstraZeneca, Colgate-Palmolive, Dell, Ford, Microsoft, Nestl&eacute;, The Coca-Cola Company, and Wendy's. The agency is recognized by the Forrester Wave&trade; Reports, as a Leader among Marketing Creative and Content Service Providers, Commerce Services, Global Digital Experience Services, Global Marketing Services and, most recently, Marketing Measurement &amp; Optimization. In addition, VML&rsquo;s specialist health network, VML Health, is one of the world&rsquo;s largest and most awarded health agencies. VML&rsquo;s global network is powered by 26,000 talented people across 55+ markets, with principal offices in Kansas City, New York, Detroit, London, S&atilde;o Paulo, Shanghai, Singapore, and Sydney.
 
 
 VML is a WPP agency (NYSE: WPP). For more information, please visit  www.vml.com, and follow along on Instagram, LinkedIn, and X.
 
 
 
 Who we&rsquo;re looking for:
 
 We are seeking an experienced AI/ML Engineer with a minimum of 5 years of expertise to join our innovative technology team. In this pivotal role, you will be responsible for designing, training, and optimizing AI models, with a strong focus on Natural Language Processing (NLP) for real-time content summarization, recommendation, and conversational UIs. You will implement cutting-edge techniques like Retrieval-Augmented Generation (RAG) and fine-tune transformer-based models, collaborating closely with backend and data engineering teams to ensure seamless deployment and maintenance of brand tone and content accuracy in all AI outputs.
 
 
 
 What You&rsquo;ll Be Doing
 
 
 
 <ul>
 <li>
 Design, train, and optimize AI models specifically for real-time content summarization and recommendation.
 </li>
 <li>
 Implement advanced Natural Language Processing (NLP) techniques to enhance conversational UI and predictive interactions.
 </li>
 <li>
 Apply Retrieval-Augmented Generation (RAG) for intelligent response generation from dynamic content sources.
 </li>
 <li>
 Fine-tune transformer-based models (e.g., BERT, T5) using domain-specific datasets to achieve optimal performance.
 </li>
 <li>
 Collaborate closely with backend and data engineering teams to streamline model deployment within a production-grade environment.
 </li>
 <li>
 Ensure that brand tone and content accuracy are meticulously maintained throughout all AI-generated outputs.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field.
 </li>
 <li>
 5&ndash;7 years of progressive experience in AI/ML engineering, with a strong and proven focus on Natural Language Processing (NLP).
 </li>
 <li>
 Strong practical experience with leading Machine Learning frameworks such as TensorFlow, PyTorch, and Hugging Face.
 </li>
 <li>
 Experience with LangChain and LangGraph.
 </li>
 <li>
 Experience with MLOps pipelines and platforms like AWS SageMaker, Azure AI Search, or similar.
 </li>
 <li>
 Solid understanding of Large Language Models (LLMs), embeddings, and semantic search technologies.
 </li>
 <li>
 Expert proficiency in Python and robust data handling libraries such as Pandas and NumPy.
 </li>
 <li>
 Familiarity with deploying AI models via microservices or APIs.
 </li>
 <li>
 Preferred Qualifications:
 </li>
 <li>
 Understanding of branding, tone, and the user experience (UX) implications in AI-generated content.
 </li>
 <li>
 Experience working with headless CMS (Content Management Systems) and structured content datasets.
 </li>
 <li>
 Knowledge of ethical AI principles and prompt engineering best practices.
 
 
 </li>
 </ul>
 
 Additional Competencies
 
 
 
 <ul>
 <li>
 AI/ML Engineering
 </li>
 <li>
 Natural Language Processing (NLP)
 </li>
 <li>
 Large Language Models (LLMs)
 </li>
 <li>
 MLOps &amp; Deployment
 </li>
 <li>
 Python &amp; Data Science
 </li>
 <li>
 Transformer Models
 </li>
 <li>
 Content Summarization &amp; Recommendation
 </li>
 <li>
 Brand &amp; Content Integrity
 
 
 </li>
 </ul>
 We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we&rsquo;ve adopted a hybrid approach, with teams in the office an average of four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.
 
 
 WPP (VML) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.
 
 
 When you click "Submit Application", this will send any information you add below to VML. Before you do this, we think it's a good idea to read through our Recruitment Privacy Policy. California residents should read our California Recruitment Privacy Notice. This explains what we do with your personal data when you apply for a role with us, and, how you can update the information you have provided us with or how to remove it.
</div>

International Turnkey Systems - ITS

<div>
 
 For a
 
 well-known Islamic Bank in Bahrain
 
 , we are looking for an experienced
 
 AI/ML Specialist (Engineer &ndash; Data Platform)
 
 . This role is focused on designing, developing, and deploying advanced machine learning solutions to support digital transformation initiatives in the banking sector. The successful candidate will bring deep expertise in ML, NLP, cloud AI platforms, and MLOps, with a strong background in financial services.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 
 Machine Learning &amp; AI Solutions
 
 
 <ul>
 <li>
 Design and develop ML models for banking use cases (fraud detection, credit scoring, churn prediction, personalization).
 </li>
 <li>
 Collaborate with data engineers to prepare and preprocess data.
 </li>
 <li>
 Evaluate and optimize models for accuracy, precision, and recall.
 </li>
 <li>
 Deploy models using MLOps frameworks and CI/CD pipelines.
 </li>
 <li>
 Ensure explainability, compliance, and auditability of models.
 </li>
 </ul>
 
 
 
 
 
 Core AI/NLP Engineering
 
 
 <ul>
 <li>
 Work with Python frameworks (PyTorch, TensorFlow, LangChain, Hugging Face, OpenAI API, Anthropic Claude).
 </li>
 <li>
 Fine-tune LLMs (LoRA, PEFT, prompt tuning).
 </li>
 <li>
 Implement RAG pipelines and vector databases (Pinecone, FAISS, Weaviate, Chroma).
 </li>
 <li>
 Apply prompt engineering and orchestration tools (LangChain, LlamaIndex, Semantic Kernel).
 </li>
 </ul>
 
 
 
 
 
 Software Engineering &amp; Backend Integration
 
 
 <ul>
 <li>
 Develop APIs (RESTful, GraphQL), webhooks, and microservices.
 </li>
 <li>
 Containerize and deploy applications (Docker, Kubernetes).
 </li>
 <li>
 Integrate with enterprise systems (SharePoint, Salesforce, SQL).
 </li>
 </ul>
 
 
 
 
 
 Agent Orchestration &amp; Conversational AI
 
 
 <ul>
 <li>
 Utilize agent frameworks (LangGraph, AutoGen, CrewAI, Flowise).
 </li>
 <li>
 Design conversational UX with frameworks (Google CCAI, Microsoft Bot Framework, Voiceflow, Botpress).
 </li>
 <li>
 Conduct A/B testing and optimize user satisfaction.
 </li>
 </ul>
 
 
 
 
 
 Data &amp; Infrastructure
 
 
 <ul>
 <li>
 Build pipelines with Airflow, dbt, Kafka.
 </li>
 <li>
 Manage feature stores and model registries (MLflow, Kubeflow).
 </li>
 <li>
 Monitor models for drift and performance issues.
 </li>
 </ul>
 
 
 
 
 
 Governance, Security &amp; Compliance
 
 
 <ul>
 <li>
 Conduct bias/fairness audits.
 </li>
 <li>
 Ensure compliance with GDPR, ISO 42001, NIST AI RMF, and local banking regulations.
 </li>
 <li>
 Implement secure logging and audit trails.
 </li>
 </ul>
 
 
 
 
 
 Product Strategy &amp; Business Alignment
 
 
 <ul>
 <li>
 Translate business problems into AI use cases.
 </li>
 <li>
 Define KPIs (accuracy, ROI, user satisfaction).
 </li>
 <li>
 Manage vendors and drive adoption of AI solutions.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 
 Education:
 
 Bachelor&rsquo;s Degree in Computer Science (BE in Computer Science &amp; Engineering).
 </li>
 <li>
 
 Experience:
 
 7&ndash;10 years in AI/ML engineering, preferably in banking and IT transformation.
 </li>
 <li>
 
 Professional Training:
 
 Machine Learning, Deep Learning, MLOps, AI in Financial Services.
 </li>
 <li>
 
 Certifications:
 
 </li>
 <li>
 Google Professional ML Engineer
 </li>
 <li>
 Microsoft AI Engineer Associate
 </li>
 <li>
 TensorFlow Developer Certificate
 </li>
 <li>
 AWS Certified Machine Learning &ndash; Specialty
 </li>
 </ul>
 
 
 
 
 Skills &amp; Competencies
 
 <ul>
 <li>
 Machine Learning / Deep Learning
 </li>
 <li>
 Statistics &amp; Finance knowledge
 </li>
 <li>
 Data Preprocessing &amp; Feature Engineering
 </li>
 <li>
 Model Deployment &amp; MLOps
 </li>
 <li>
 Cloud AI Platforms (Azure ML, AWS SageMaker, Vertex AI)
 </li>
 <li>
 Explainable AI (XAI) &ndash; SHAP, LIME
 </li>
 <li>
 Statistical Analysis
 </li>
 <li>
 Business Problem Solving
 </li>
 </ul>
 
 
</div>

AI/ ML Specialist

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